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Methodologies for Intelligent Systems : 8th International Symposium, ISMIS '94, Charlotte, North Carolina, USA, October 16 - 19, 1994. Proceedings. 1st ed. 1994

種類:
電子ブック
責任表示:
edited by Zbigniew W. Ras, Maria Zemankova
出版情報:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1994
著者名:
シリーズ名:
Lecture Notes in Artificial Intelligence ; 869
ISBN:
9783540490104 [3540490108]  CiNii Books  Calil
注記:
Distributed Earth science validation centers for Mission to Planet Earth -- Causal understanding in reasoning about the world -- How to make intelligent digital libraries -- “Some methodology and representation problems for the semantics of prosaic application domains” -- Recognizing credible experts in inaccurate databases -- Fuzzy logic or lukasiewicz logic: A clarification -- Logic systems for approximate reasoning: via rough sets and topology -- Signed formulas and fuzzy operator logics -- Rough mereology -- A new rule for updating evidence -- A global measure of ambiguity for classification -- Meta-level control of approximate reasoning: A decision theoretic approach -- Formal models of selection in genetic algorithms -- Genetic algorithms for the 0/1 knapsack problem -- On the weakening of fuzzy relational queries -- Transforming queries from a relational schema to an object schema: A prototype based on F-logic -- Knowledge discovery in databases: A rule-based attribute-oriented approach -- Case-based r
This volume contains the revised versions of the papers presented at the Eighth International Symposium on Methodologies for Intelligent Systems (ISMIS '94), held in Charlotte, North Carolina, USA in October 1994. Besides four invited contributions by renowned researchers on key topics, there are 56 full papers carefully selected from more than 120 submissions. The book presents the state of the art for methodologies for intelligent systems; the papers are organized in sections on approximate reasoning, evolutionary computation, intelligent information systems, knowledge representation, methodologies, learning and adaptive systems, and logic for AI.
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